← Search

Chenyang Liao

2 accepted papers

2026

AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL

ICLR 2026oral

Training LLM agents for complex multi-turn decision-making tasks requires extensive exploration within their environment, with reinforcement learning (RL) as a natural way. However, the open-source community currently lacks a unified RL framework capable of training agents from scratch across divers…

Cited by 0SourcecodeScholar
2025

AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments

ACL 2025long

Large language models (LLMs) have emerged as a promising foundation to build generally-capable agents (LLM-based agents) that can handle multi-turn decision-making tasks across various environments. However, the community lacks a unified interactive framework that covers diverse environments for com…